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Physical Causality of Action Verbs in Grounded Language Understanding
Linguistics studies have shown that action verbs often denote some Change of State (CoS) as the result of an action. However, the causality of action verbs and its potential connection with theExpand
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Jointly Learning Grounded Task Structures from Language Instruction and Visual Demonstration
To enable language-based communication and collaboration with cognitive robots, this paper presents an approach where an agent can learn task models jointly from language instruction and visualExpand
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Back to the Blocks World: Learning New Actions through Situated Human-Robot Dialogue
This paper describes an approach for a robotic arm to learn new actions through dialogue in a simplified blocks world. In particular, we have developed a threetier action knowledge representationExpand
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Language to Action: Towards Interactive Task Learning with Physical Agents
Language communication plays an important role in human learning and skill acquisition. With the emergence of a new generation of cognitive robots, empowering these physical agents to learn directlyExpand
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On Evaluating and Comparing Open Domain Dialog Systems
Conversational agents are exploding in popularity. However, much work remains in the area of non goal-oriented conversations, despite significant growth in research interest over recent years. ToExpand
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What Action Causes This? Towards Naive Physical Action-Effect Prediction
Despite recent advances in knowledge representation, automated reasoning, and machine learning, artificial agents still lack the ability to understand basic actioneffect relations regarding theExpand
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Commonsense Justification for Action Explanation
To enable collaboration and communication between humans and agents, this paper investigates learning to acquire commonsense evidence for action justification. In particular, we have developed anExpand
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COVID-19: potential effects on Chinese citizens’ lifestyle and travel
Purpose – The 2019 novel coronavirus (COVID-19) outbreak is projected to have adverse consequences on the global tourism and hospitality industry. This paper aims to examine how the outbreak mayExpand
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Teaching Robots New Actions through Natural Language Instructions
Robots often have limited knowledge and need to continuously acquire new knowledge and skills in order to collaborate with its human partners. To address this issue, this paper describes an approachExpand
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On Evaluating and Comparing Conversational Agents
Conversational agents are exploding in popularity. However, much work remains in the area of non goal-oriented conversations, despite significant growth in research interest over recent years. ToExpand
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